Screening method of thin oil in blending viscosity reduction
By obtaining the gas concentration curve of the thin oil sample and conducting blending experiments, the average carbon number of the thin oil was determined using a standard curve. This solved the problems of accuracy and efficiency in thin oil screening during thick oil blending and viscosity reduction, and achieved precise and concise thin oil screening.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA UNIV OF PETROLEUM (BEIJING)
- Filing Date
- 2024-11-04
- Publication Date
- 2026-05-08
AI Technical Summary
Existing technologies for thinning oil screening in heavy oil blending for viscosity reduction suffer from low accuracy and poor applicability, resulting in high costs and long cycles.
By obtaining the gas concentration curves of each n-alkane sample, the proposed component sample, the heavy oil sample to be blended, and the light oil sample, the average carbon number information of each sample is determined using the standard curve, and the average carbon number range is determined based on the blending experiment results, thus screening out the target light oil sample.
It achieves precise and simple screening of thin oil in the process of thick oil blending and viscosity reduction, and improves the accuracy and efficiency of thin oil screening.
Smart Images
Figure CN121995039A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of heavy oil dilution and viscosity reduction technology, and in particular to a method for screening thin oil in the process of dilution and viscosity reduction. Background Technology
[0002] Heavy oil, a crucial component of global oil and gas resources, is characterized by its high viscosity. Current technologies for reducing the viscosity of heavy oil include heating, microbial methods, and dilution. Among these, dilution is a simple and widely used method. Its core principle involves adding thinner oil to heavy oil to reduce its viscosity, improve its fluidity, and thus increase well production. Dilution also significantly reduces the density of heavy oil, increasing the relative density difference between oil and water, which is beneficial for dehydration during subsequent refining processes.
[0003] Current technologies for screening thin oils for viscosity reduction through dilution primarily employ laboratory testing methods. These methods require analyzing key indicators such as viscosity, density, sulfur content, and impurity content of the thin oil sample, and determining the compatibility between the thin oil and heavy oil to ensure no adverse reactions or precipitation occur after mixing. However, this approach requires a large number of thin oil samples, resulting in high costs, long experimental cycles, and limited applicability. Alternatively, methods may rely on industry experience and technical standards for viscosity reduction through dilution, but these methods lack scientific basis and can lead to inaccurate screening of thin oil samples. Therefore, existing technologies for screening thin oils through viscosity reduction require improvement, exhibiting low accuracy and poor applicability. Summary of the Invention
[0004] This application provides a screening method for dilute oil used in viscosity reduction and dilution, in order to solve the technical problems of low task processing efficiency and unreasonable allocation mechanism in the prior art.
[0005] In a first aspect, this application provides a method for screening thin oils used in viscosity reduction and dilution, the method comprising:
[0006] Obtain the gas concentration curves for each n-alkane sample, each proposed component sample, the heavy oil sample to be blended, and each light oil sample;
[0007] The standard curve was determined based on the gas concentration curve and average carbon number information of each n-alkane sample;
[0008] The standard curve determines the average carbon number information of each sample of the proposed component, the average carbon number information of the sample to be blended (thick or thin oil), and the average carbon number information of each thin oil sample based on the gas concentration curve of each sample.
[0009] The average carbon number range was determined based on the average carbon number information of each proposed component sample and the results of the blending experiment.
[0010] The target thin oil sample is determined based on the average carbon number range, the average carbon number information of the thin and heavy oil samples to be blended, and the average carbon number information of each thin oil sample.
[0011] Optionally, a standard curve is determined based on multiple gas concentration curves and multiple average carbon number information, including:
[0012] Under preset experimental conditions, each n-alkane sample undergoes a reaction experiment in a combustion tank experimental device until the experimental temperature meets the first preset threshold. The experimental time information and the gas concentration information produced for each n-alkane sample are then obtained. The produced gases include CO and CO2.
[0013] The gas concentration curves for each n-alkane sample were obtained based on the experimental time and gas concentration information.
[0014] Integrating the gas concentration curve yields information on the molar amount of gas generated for each n-alkane sample;
[0015] Data fitting is performed on multiple gas molar amounts and multiple average carbon numbers to obtain correlation coefficient information and an initial standard curve. The standard curve is determined when the correlation coefficient information meets the second preset threshold.
[0016] Optionally, the standard curve determines the average carbon number information of each sample to be blended, the average carbon number information of the heavy oil sample to be blended, and the average carbon number information of each light oil sample based on the gas concentration curve of each sample, including:
[0017] The gas concentration curve of each pseudo-component sample is integrated to obtain the gas generation molar amount information of each pseudo-component sample;
[0018] The gas concentration curves of the samples to be blended with the heavy oil were integrated to obtain the molar amount of gas generated in the samples to be blended with the heavy oil.
[0019] The gas concentration curve of each thin oil sample is integrated to obtain the molar amount of gas generated for each thin oil sample;
[0020] Substitute the gas generation molar amount information of each proposed component sample, the gas generation molar amount information of the sample to be blended with heavy oil, and the gas generation molar amount information of each thin oil sample into the standard curve to determine the average carbon number information of each proposed component sample, the average carbon number information of the sample to be blended with heavy oil, and the average carbon number information of each thin oil sample.
[0021] Optionally, the average carbon number range is determined based on the average carbon number information of each proposed component sample and the results of the blending experiment, including:
[0022] Determine whether the average carbon number of each pseudo-component sample is higher than a preset threshold. If it is, it is a heavy pseudo-component sample; otherwise, it is a light pseudo-component sample. There are N heavy pseudo-component samples, where N is a positive integer, and M light pseudo-component samples, where M is a positive integer.
[0023] Multiple blending schemes are determined based on N heavy pseudo-component samples and M light pseudo-component samples. Each heavy pseudo-component sample corresponds to M blending schemes, and each blending scheme corresponds to an average carbon number ratio.
[0024] According to the preset mixing conditions, each mixing scheme is mixed using the mixing experimental device to obtain the mixing experimental results of each mixing scheme.
[0025] The blending index information for each blending scheme is obtained based on the results of the blending experiment;
[0026] The average carbon number range is determined based on the blending index information.
[0027] Optionally, the average carbon number range is determined based on the blending index information, including:
[0028] For each heavy pseudo-component sample, the M blending schemes determine the initial average carbon ratio range based on the blending index information; where each heavy pseudo-component sample corresponds to one initial average carbon ratio range, and there are a total of N initial average carbon ratio ranges.
[0029] Determine the initial average carbon number interval corresponding to each average carbon number ratio interval, where there are N initial average carbon number intervals;
[0030] The average carbon number intervals are determined from N initial average carbon number intervals according to preset conditions.
[0031] Optionally, the target thin oil sample is determined based on the average carbon number range, the average carbon number information of the samples to be blended (thick and thin oils), and the average carbon number information of each thin oil sample, including:
[0032] Determine the difference between the average carbon number of the samples to be blended (thick and thin oils) and the average carbon number of each thin oil sample;
[0033] Determine whether each difference value is within the average carbon number range. If so, the thin oil sample corresponding to the difference value is the target thin oil sample.
[0034] A second aspect of this application provides a screening device for diluting and reducing the viscosity of light oil, comprising:
[0035] The combustion pool experimental setup is used to conduct combustion reaction experiments on each n-alkane sample, each component sample, and the sample to be blended (thick or thin) oil.
[0036] The mixing experimental apparatus is used to mix heavy pseudo-component samples and light pseudo-component samples according to preset mixing conditions to obtain the mixing experimental results of each mixing scheme.
[0037] The data acquisition equipment is used to collect and process gas concentration information from the combustion pool experimental device, and also to determine the target thin oil sample based on the average carbon number range, the average carbon number information of the heavy and light oil samples to be blended, and the average carbon number information of each thin oil sample.
[0038] Optionally, the combustion chamber experimental apparatus includes: a combustion chamber, a gas cylinder, a temperature controller, and a gas analyzer;
[0039] A temperature controller is used to control the reaction temperature within the combustion chamber.
[0040] Gas cylinders are used to store gas and feed it into the combustion chamber;
[0041] The combustion tank is used to conduct combustion reaction experiments on each n-alkane sample, each component sample, and the sample to be blended (thick or thin oil).
[0042] The gas analyzer is used to collect gas concentration information of each n-alkane sample, each component sample, the sample to be blended (thick or thin), and each thin oil sample in the combustion chamber.
[0043] Optionally, the mixing experimental apparatus includes a mixing device and a measuring device;
[0044] A mixing device is used to mix the heavy pseudo-component sample and the light pseudo-component sample in each mixing scheme according to preset mixing conditions;
[0045] The measuring device is used to measure the viscosity information of each blending scheme at each time point within a preset time interval.
[0046] Optionally, the data acquisition device is used for:
[0047] Collect gas concentration information of each sample reacting with air in the gas analyzer; use the gas concentration information to determine the gas concentration curves of each n-alkane sample, each proposed component sample, the sample to be blended with heavy or light oil, and each light oil sample;
[0048] Determine the standard curve, and based on the standard curve, determine the average carbon number information for each component sample, the heavy oil sample to be blended, and each light oil sample;
[0049] Multiple viscosity data points for each blending scheme in the blending experimental apparatus are collected. The viscosity curve for each blending scheme is determined using the multiple viscosity data points. The blending index information is then determined based on the viscosity curve.
[0050] The average carbon number range is determined based on the average carbon number information and blending index information of each proposed component sample.
[0051] This application provides a method for screening light oil in the process of thick oil blending for viscosity reduction. The method involves obtaining gas concentration curves for each n-alkane sample, each proposed component sample, the heavy oil sample to be blended, and each light oil sample. A standard curve is determined based on the gas concentration curve and average carbon number information of each n-alkane sample. The standard curve, based on the gas concentration curve of each sample, determines the average carbon number information of each proposed component sample, the heavy oil sample to be blended, and each light oil sample. An average carbon number range is determined based on the average carbon number information of each proposed component sample and the blending experiment results. The target light oil sample is then determined based on the average carbon number range, the average carbon number information of the heavy oil sample to be blended, and the average carbon number information of each light oil sample. This provides a precise and concise indicator for screening light oil in the process of thick oil blending for viscosity reduction, and allows for the determination of the target light oil based on the average carbon number information of the light oil, thus improving the accuracy of light oil screening. Attached Figure Description
[0052] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.
[0053] Figure 1 The flowchart of the screening method for diluting and reducing viscosity using light oil provided in the embodiments of this application Figure 1 ;
[0054] Figure 2 The flowchart of the screening method for diluting and reducing viscosity using light oil provided in the embodiments of this application Figure 2 ;
[0055] Figure 3 This is an example of a screening method for diluting and reducing viscosity using light oil provided in this application. Figure 1 ;
[0056] Figure 4 This is an example of a screening method for diluting and reducing viscosity using light oil provided in this application. Figure 2 ;
[0057] Figure 5 Schematic diagram of the structure of the screening device for diluting and reducing viscosity of medium-thin oil provided in the embodiments of this application. Figure 1 ;
[0058] Figure 6 Schematic diagram of the structure of the screening device for diluting and reducing viscosity of medium-thin oil provided in the embodiments of this application. Figure 2 .
[0059] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation
[0060] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.
[0061] Current technologies for screening thin oils for viscosity reduction through dilution primarily employ laboratory testing methods. These methods require analyzing key indicators such as viscosity, density, sulfur content, and impurity content of the thin oil sample, and determining the compatibility between the thin oil and heavy oil to ensure no adverse reactions or precipitation occur after mixing. However, this approach requires a large number of thin oil samples, resulting in high costs, long experimental cycles, and poor applicability. Alternatively, methods may rely on industry experience and technical standards for viscosity reduction through dilution, but these methods lack scientific basis and can lead to inaccurate screening of thin oil samples. Therefore, current technologies suffer from limitations in the methods for screening thin oils for viscosity reduction, exhibiting low accuracy and poor applicability.
[0062] To address the problems in existing technologies, this application provides a screening method for thin oil in viscosity-reducing blending. This method involves obtaining gas concentration curves for each n-alkane sample, each proposed component sample, the heavy oil sample to be blended, and each thin oil sample. A standard curve is determined based on the gas concentration curve and average carbon number information of each n-alkane sample. The standard curve, based on the gas concentration curve of each sample, determines the average carbon number information of each proposed component sample, the average carbon number information of the heavy oil sample to be blended, and the average carbon number information of each thin oil sample. Finally, the method is used to determine the blending results based on the average carbon number information of each proposed component sample and the blending experiment results. The method determines the target thin oil sample based on the average carbon number range, the average carbon number information of the heavy oil sample to be blended, and the average carbon number information of each thin oil sample. This method uses the standard curve of n-alkane samples to determine the average carbon number information of the heavy oil and thin oil samples to be blended, and determines the average carbon number range based on blending experiments of multiple pseudo-components. Thus, the average carbon number information and average carbon number range of the heavy oil and thin oil samples to be blended are used to screen the target thin oil sample. The average carbon number range provides a precise and concise indicator for screening thin oil in the process of thick oil blending for viscosity reduction, achieving the technical effect of improving the accuracy of thin oil screening.
[0063] This application provides a screening method for diluting and reducing viscosity of medium-thin oil, which achieves the technical effect of improving business processing efficiency.
[0064] The technical solution of this application and how it solves the above-mentioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.
[0065] Figure 1 The screening method flow for diluting and viscosity-reducing medium-thin oil provided in the embodiments of this application Figure 1 .like Figure 1 As shown, the screening method for diluting and reducing viscosity using light oil provided in this embodiment includes:
[0066] S101. Obtain the gas concentration curves for each n-alkane sample, each component sample, the heavy oil sample to be blended, and each light oil sample.
[0067] In this embodiment, n-alkanes are a class of hydrocarbons with a straight-chain structure composed of carbon atoms, without branched or cyclic structures. As a type of alkane, the molecule of a n-alkane contains only carbon-carbon single bonds and carbon-hydrogen bonds, and the molecular formula of a n-alkane follows the rule CnH(2n+2), where n is a positive integer. N-alkanes include, but are not limited to: methane (CH4), ethane (C2H6), propane (C3H8), and n-butane (C4H4H6). 10 ), n-pentane (C5H) 12 ), n-hexane (C6H) 14 ), n-Heptane (C7H) 16 ), n-octane (C8H) 18 ), n-nonane (C9H) 20 ), n-decane (C 10 H 22 ), n-Undecane (C 11 H 24 ), n-octadecane (C 18 H 38 ), n-Pedecane (C 25 H 52 ), n-Triacontane (C 30 H 62 ), n-tetradecane (C 34 H 70 ) and n-tetradecane (C 40 H 82The pseudo-component sample refers to a hypothetical component used in engineering calculations. It is typically formed by combining several components with similar physical and chemical properties within a system. The appropriate pseudo-component classification method can be selected based on the specific application scenario and data characteristics. Classification methods include, but are not limited to, classification based on physical properties such as boiling point, density, and molecular weight, as well as classification based on chemical properties. The gas concentration curve refers to the curve showing the change in gas concentration over time. Each n-alkane sample, each pseudo-component sample, the sample to be blended (thick or thin), and each thin oil sample are placed in a combustion chamber experimental apparatus. Each sample reacts in the combustion chamber, producing CO2 and CO gases. After the reaction is complete, the curve showing the change in CO2 and CO gas concentrations over a period of time is obtained; this is the gas concentration curve.
[0068] S102. Determine the standard curve based on the gas concentration curve and average carbon number information of each n-alkane sample;
[0069] In this embodiment, the number of carbon atoms in each n-alkane sample is determined based on its molecular formula, which is the average carbon number information. The gas concentration curve of each n-alkane is integrated to obtain the gas generation molar amount information corresponding to each n-alkane. Each n-alkane sample corresponds to one gas generation molar amount information and one average carbon number information. With the average carbon number information as the abscissa and the gas generation molar amount information as the ordinate, a scatter plot of the gas generation molar amount information and the average carbon number information can be obtained. By performing linear fitting on the scatter plot, a standard curve can be obtained.
[0070] S103. The standard curve determines the average carbon number information of each sample to be used as a component, the average carbon number information of the sample to be blended (both heavy and light), and the average carbon number information of each light oil sample based on the gas concentration curve of each sample.
[0071] In this embodiment, consistent with step S102, the gas concentration curves of each proposed component sample, the heavy oil sample to be blended, and each light oil sample are integrated to obtain the gas generation molar amount information for each sample. Substituting the gas generation molar amount information into the standard curve, the average carbon number information corresponding to each sample can be obtained.
[0072] S104. Determine the average carbon number range based on the average carbon number information of each proposed component sample and the results of the blending experiment.
[0073] In this embodiment, blending experiments are conducted between each pseudo-component, and each blending experiment corresponds to an average carbon number ratio. Based on the results of the blending experiments, the range of the average carbon number ratio is determined. For example, if the range of the average carbon number ratio between the heavy pseudo-component and the light pseudo-component is 32:16 and 32:23, then the left endpoint of the average carbon number range is 32-23, which is 9, and the right endpoint is 32-16, which is 16. Therefore, the average carbon number range is 9-16.
[0074] S105. Determine the target thin oil sample based on the average carbon number range, the average carbon number information of the thin and heavy oil samples to be blended, and the average carbon number information of each thin oil sample.
[0075] In this embodiment, according to step S103, the average carbon number information of the sample to be blended and the average carbon number information of each thin oil sample are obtained. The difference between the average carbon number information of the sample to be blended and the average carbon number information of each thin oil sample is calculated, and it is determined whether each difference is within the average carbon number range. If it is, the target thin oil sample can be determined.
[0076] This application provides a screening method for thin oil in a viscosity-reducing blend, which involves obtaining gas concentration curves for each n-alkane sample, each proposed component sample, the sample to be blended with a thinner / heavy oil, and each thin oil sample; determining a standard curve based on the gas concentration curve and average carbon number information of each n-alkane sample; using the standard curve, determining the average carbon number information of each proposed component sample, the sample to be blended with a thinner / heavy oil, and each thin oil sample, respectively; determining the average carbon number range based on the average carbon number information of each proposed component sample and the blending experiment results; and determining the target thin oil sample based on the average carbon number range, the average carbon number information of the sample to be blended with a thinner / heavy oil, and the average carbon number information of each thin oil sample. Each n-alkane sample, each pseudo-component sample, the sample to be blended (thick or thin) oil, and each thin oil sample were placed in a combustion chamber experimental apparatus until the reaction was complete. Gas concentration curves showing the change in gas concentration over time were obtained. The gas concentration curves for each n-alkane sample, each pseudo-component sample, the sample to be blended (thick or thin) oil, and each thin oil sample were integrated to obtain the molar amount of gas generated for each sample. The average carbon number of the n-alkane was plotted on the x-axis, and the molar amount of gas generated by the n-alkane was plotted on the y-axis. A standard curve was constructed, and the molar amount of gas generated was substituted into the standard curve to obtain the gas concentration information for each sample. The average carbon number information corresponding to each sample is used to conduct blending experiments between each proposed component. Each blending experiment scheme corresponds to an average carbon number ratio. Based on the results of the blending experiments, the range of average carbon number ratios is determined. The average carbon number information of the heavy oil sample to be blended is subtracted from the average carbon number information of each light oil sample. It is determined whether each difference is within the average carbon number range. If it is, the target light oil sample can be identified. This provides a precise and concise indicator for screening light oil in the process of thick oil blending to reduce viscosity. The target light oil can be identified based on the average carbon number information of the light oil, thus achieving the technical effect of improving the accuracy of light oil screening.
[0077] Figure 2 The screening method flow for diluting and viscosity-reducing medium-thin oil provided in the embodiments of this application Figure 2 This embodiment is... Figure 1 Based on the examples, the screening method for thin oil in viscosity reduction by dilution is described in detail. Obtaining the standard curve can be achieved through step S202; determining the average carbon number information of each sample can be achieved through step S203; conducting blending experiments on the proposed component samples and determining the average carbon number range based on the blending experiment results can be achieved through steps S204-S205; determining the target thin oil sample based on the average carbon number range can be achieved through step S206; as... Figure 2 As shown, the screening method for diluting and reducing viscosity using light oil provided in this embodiment includes:
[0078] S201. Obtain the gas concentration curves for each n-alkane sample, each component sample, the heavy oil sample to be blended, and each light oil sample.
[0079] S202. Under preset experimental conditions, each n-alkane sample undergoes a reaction experiment in a combustion tank experimental device until the experimental temperature meets the first preset threshold. Experimental time information and gas concentration information for each n-alkane sample are obtained. A gas concentration curve for each n-alkane sample is obtained based on the experimental time information and gas concentration information. The gas concentration curve is integrated to obtain the molar amount of gas generated for each n-alkane sample. Data fitting is performed on multiple molar amounts of gas generated and multiple average carbon number information to obtain correlation coefficient information and an initial standard curve. The standard curve is determined when the correlation coefficient information meets the second preset threshold.
[0080] In this embodiment, by controlling the experimental temperature of the combustion tank experimental device, a combustion reaction kinetic experiment is conducted on each n-alkane sample in the combustion tank to produce CO2 and CO gases until the experimental temperature meets a first preset threshold. Optionally, the preset threshold temperature can be 600°C. When the temperature reaches 600°C, the combustion experiment is stopped. Instantaneous CO2 and CO gas concentration information is obtained at each time point during the initial and final reaction periods, along with gas volume information. The CO2 and CO gas concentration information and time-dependent gas concentration curves for each n-alkane sample are determined. The gas molar amount information for each n-alkane sample is obtained by integrating the gas concentration curves according to the following formula:
[0081]
[0082] Where n represents the molar amount of gas produced, q represents the volume of gas produced, and t represents time.
[0083] Using the average carbon number of each n-alkane sample as the x-axis and the corresponding molar amount of gas generated as the y-axis, a scatter plot of the molar amount of gas generated and the average carbon number is obtained. Data fitting is performed on multiple molar amounts of gas generated and multiple average carbon number information to obtain correlation coefficient information. It is then determined whether the correlation coefficient information meets the second preset threshold. If it does, the initial standard curve is determined as the standard curve. If the correlation coefficient information does not meet the second preset threshold, the relationship curve is fitted again until the correlation coefficient information meets the second preset threshold.
[0084] S203. Integrate the gas concentration curve of each pseudo-component sample to obtain the gas generation molar amount information of each pseudo-component sample; integrate the gas concentration curve of the sample to be blended with dilute / heavy oil to obtain the gas generation molar amount information of the sample to be blended with dilute / heavy oil; integrate the gas concentration curve of each dilute oil sample to obtain the gas generation molar amount information of each dilute oil sample; substitute the gas generation molar amount information of each pseudo-component sample, the gas generation molar amount information of the sample to be blended with dilute / heavy oil, and the gas generation molar amount information of each dilute oil sample into the standard curve to determine the average carbon number information of each pseudo-component sample, the average carbon number information of the sample to be blended with dilute / heavy oil, and the average carbon number information of each dilute oil sample.
[0085] In this embodiment, consistent with step S202, the same method is used to obtain the gas molar quantity information corresponding to each sample by integrating the gas concentration curves of each proposed component sample, the gas concentration curve of the sample to be blended with the heavy oil, and the gas concentration curve of each thin oil sample. Based on the gas molar quantity information, the gas generation molar quantity information is determined. Substituting the gas generation molar quantity information of each sample into the standard curve, the average carbon number information of each proposed component sample, the average carbon number information of the sample to be blended with the heavy oil, and the average carbon number information of each thin oil sample can be obtained.
[0086] S204. Determine whether the average carbon number of each pseudo-component sample is higher than a preset threshold. If yes, it is a heavy pseudo-component sample; otherwise, it is a light pseudo-component sample. There are N heavy pseudo-component samples (N is a positive integer) and M light pseudo-component samples (M is a positive integer). Based on the N heavy pseudo-component samples and M light pseudo-component samples, determine multiple blending schemes. Each heavy pseudo-component sample corresponds to M blending schemes, and each blending scheme corresponds to an average carbon number ratio. Mix each blending scheme according to preset blending conditions using a blending experimental apparatus to obtain the blending experimental results for each blending scheme. Obtain the blending index information for each blending scheme based on the blending experimental results.
[0087] In this embodiment, each heavy pseudo-component and M light pseudo-components are matched with a corresponding blending scheme. Each heavy pseudo-component sample corresponds to M blending schemes, and each blending scheme corresponds to an average carbon number ratio. The average carbon number ratio is the ratio of the average carbon number information of the heavy pseudo-component and the light pseudo-component. The heavy pseudo-component and the light pseudo-component in each blending scheme are mixed according to the preset blending conditions using a blending experimental device until they are uniformly mixed. The blending result is then obtained, and the blending index information is determined based on the blending experimental results.
[0088] Optionally, the blending index information includes viscosity reduction efficiency information, viscosity reduction rate information, and mixing condition information; the viscosity information of each blending scheme at the corresponding time point within a preset time interval can be obtained through a blending experimental device, and the viscosity reduction efficiency information, viscosity reduction rate information, and mixing condition information are calculated according to the following formulas based on the viscosity information:
[0089]
[0090]
[0091] Where R represents the viscosity reduction efficiency, indicating the magnitude of viscosity reduction, and is a thermodynamic index; V represents the viscosity reduction rate, indicating the speed of viscosity reduction, and is a kinetic index of rapid viscosity reduction; u1 represents the viscosity when the heavy pseudo-component and the light pseudo-component are uniformly mixed; u2 represents the viscosity when the heavy pseudo-component and the light pseudo-component are initially mixed; a represents the shear rate, which can be directly set in the mixing experimental apparatus; and b represents the time required for the heavy pseudo-component and the light pseudo-component to be uniformly mixed.
[0092] S205. For each heavy component sample, the M blending schemes determine the initial average carbon ratio range based on the blending index information; wherein, each heavy component sample corresponds to one initial average carbon ratio range, and there are N initial average carbon ratio ranges in total; determine the initial average carbon number range corresponding to each average carbon ratio range, wherein there are N initial average carbon number ranges; the N initial average carbon number ranges determine the average carbon number range based on preset conditions.
[0093] In this embodiment, each heavy pseudo-component corresponds to M blending schemes. Based on the blending index information, the average carbon number ratio range of each heavy pseudo-component is determined, resulting in N initial average carbon number ratio ranges. These N initial average carbon number ranges are then used to determine the average carbon number range. The method for determining the upper and lower intervals includes, but is limited to, calculating the viscosity reduction efficiency and viscosity reduction rate information for each average carbon number range. Based on the changes in the viscosity reduction efficiency and viscosity reduction rate information, the optimal average carbon number ratio is determined for the average carbon number range. For example, if the average carbon number ratio range corresponding to heavy pseudo-component 1 is 33:16 and 33:22, then the initial average carbon number range corresponding to heavy pseudo-component 1 is 11-17; if the average carbon number ratio range corresponding to heavy pseudo-component 2 is 30:15 and 30:24, then the initial average carbon number range corresponding to heavy pseudo-component 2 is 6-15; if the average carbon number ratio range corresponding to heavy pseudo-component 3 is 40:25 and 40:33, then the initial average carbon number range corresponding to heavy pseudo-component 3 is 7-15. According to the first preset condition, the average carbon number range can be determined based on the initial average carbon number ranges of 1, 2, and 3. The determination method includes, but is not limited to, taking the average of the left endpoints of the three initial ranges as 8 and the average of the right endpoints of the three initial ranges as 15.6, then the average carbon number range is 8-15.6; the average carbon number range can also be determined based on the complexity of the actual crude oil composition and the three initial average carbon number ranges.
[0094] S206. Determine the difference between the average carbon number of the sample to be blended and the average carbon number of each thin oil sample; determine whether each difference is within the average carbon number range. If so, the thin oil sample corresponding to the difference is the target thin oil sample.
[0095] In this embodiment, the average carbon number of the sample to be blended with the average carbon number of each thin oil sample is subtracted to obtain the difference information. It is then determined whether each difference information falls within the average carbon number range. If so, the thin oil sample corresponding to that difference information is the target thin oil sample. For example, step S203 determines that the average carbon number of the sample to be blended with the thin oil is 38; the average carbon number of thin oil sample 1 is 12; the average carbon number of thin oil sample 2 is 9; the average carbon number of thin oil sample 3 is 23; and the average carbon number of thin oil sample 4 is... The average carbon number is 19; the difference between the sample to be blended and the first thin oil sample is 26; the difference between the sample to be blended and the second thin oil sample is 29; the difference between the sample to be blended and the third thin oil sample is 15; the difference between the sample to be blended and the fourth thin oil sample is 19; according to the average carbon number range determined in steps S204-S205, which is 16-20, the difference information of the fourth thin oil sample is within the average carbon number range, so the fourth thin oil sample can be determined as the target thin oil.
[0096] Figure 3 This is an example of a screening method for diluting and reducing viscosity using light oil provided in this application. Figure 1 Taking five n-alkane samples—n-hexadecane, n-docosane, n-octacosane, n-tetradecane, and n-tetradecane—as examples, and through actual boiling point distillation experiments, the Tarim Basin heavy oil and Shunbei light oil were divided into pseudo-components with different boiling ranges. Six pseudo-component samples were selected with temperatures of <200℃, 200-250℃, 250-300℃, 300-350℃, 350-400℃, and >400℃. The Tarim Basin heavy oil was used as the sample to be blended into a light oil mixture. The first, third, and Shunbei light oils were used as light oil samples. Five n-alkane samples—n-hexadecane, n-docosane, n-octacosane, n-tetradecane, and n-tetradecane—were placed in a combustion chamber and reacted with air to produce CO2 and CO gases. The molar amounts of the gases were obtained by integrating the gas concentration curves of each of the five n-alkane samples. Based on these molar amounts, the average carbon number of each n-alkane sample was determined. A standard curve was then constructed based on the multiple average carbon number values and the multiple molar amounts of the gases produced. Figure 3As shown, the relationship curve between the average carbon number information and the molar amount of gas generated is 0.997 after fitting. The standard curve is determined to be y = 0.0007x - 0.0093, where y is the molar amount of gas generated and x is the average carbon number information. Six pseudo-component samples at temperatures of <200℃, 200-250℃, 250-300℃, 300-350℃, 350-400℃, and >400℃, along with Tahe Quadruple Heavy Oil, Single-Unit Light Oil, Triple-Unit Light Oil, and Shunbei Light Oil, were placed in a combustion tank experimental apparatus under the same experimental conditions. Gas concentration curves were obtained for each sample. Based on these gas concentration curves, the molar amount of gas generated for each sample was obtained. Substituting this information into the standard curve, the average carbon number of pseudo-component sample 1 (<200℃) was determined to be 13, that of pseudo-component sample 2 (200-250℃) was 15, that of pseudo-component sample 3 (250-300℃) was 19, that of pseudo-component sample 4 (300-350℃) was 24, and that of pseudo-component sample 5 (350-400℃) was... 29. The average carbon number of sample 6 (>400℃) is 33; the average carbon number of Tarim Basin heavy oil is 33.03; the average carbon number of Tarim Basin light oil is 23.37; the average carbon number of Tarim Basin light oil is 25.28; and the average carbon number of Shunbei light oil is 15.43. Determine if the average carbon number of each sample is greater than 30. If yes, it is a heavy sample; otherwise, it is a light sample. Based on this determination, samples 1, 2, 3, 4, and 5 are light samples, and sample 6 is a heavy sample. Component 6 is then mixed with samples 1, 2, 3, 4, and 5. Viscosity information at different time points is obtained through mixing using the mixing apparatus. If the difference between the r-th viscosity information and the (r+1)-th viscosity information meets a preset threshold, the mixing experiment is considered complete. Based on the viscosity information, viscosity efficiency, viscosity rate, and mixing conditions are determined. Figure 4 This is an example of a screening method for diluting and reducing viscosity using light oil provided in this application. Figure 2 ,like Figure 4The figure shows the relationship curves between the average carbon number ratio and viscosity efficiency and viscosity rate information. The average carbon number ratios of the heavy pseudo-component 1 and each light pseudo-component are 33:29, 33:24, 33:19, 33:15, and 33:13. According to the formula in S204, the difference between the heavy pseudo-component sample 1 and the light pseudo-component sample 1 is 4; the difference between the heavy pseudo-component sample 1 and the light pseudo-component sample 2 is 9; the difference between the heavy pseudo-component sample 1 and the light pseudo-component sample 3 is 14; the difference between the heavy pseudo-component sample 1 and the light pseudo-component sample 4 is 18; and the difference between the heavy pseudo-component sample 1 and the light pseudo-component sample 5 is 20. The viscosity efficiency and viscosity rate information for each average carbon number interval are calculated according to... Figure 4 The relationship curves show that the viscosity efficiency and viscosity rate information decreases most significantly when the average carbon number ratio is between 33:24 and 33:19. Therefore, 33:24 to 33:19 is defined as the average carbon number ratio range, resulting in an initial average carbon number range of 9-14. Based on theories such as "like dissolves like," and considering the mixing conditions and the complexity of the heavy oil composition, the initial average carbon number range is subtracted by 2-3, yielding an average carbon number range of 6-12. The average carbon number information of the Tarim Basin's fourth heavy oil and the first light oil are then compared... The average carbon number differences between the three-linked light oil and the Shunbei light oil were calculated. The differences between the four-linked heavy oil and the one-linked light oil were 9.66; the differences between the four-linked heavy oil and the three-linked light oil were 7.75; and the differences between the four-linked heavy oil and the Shunbei light oil were 17.6. Based on the average carbon number range of 6-12, the one-linked light oil and the three-linked light oil can be selected as the target light oils. However, the Shunbei light oil is not suitable for direct blending into the four-linked heavy oil of the Tarim River. If the Shunbei light oil is to be blended, other substances need to be added to gradually reduce the difference in average carbon number.
[0097] This application provides a screening method for diluting and reducing viscosity of medium-thin oil. The method involves obtaining gas concentration curves for each n-alkane sample, each proposed component sample, the heavy oil sample to be diluted, and each thin oil sample. Under preset experimental conditions, each n-alkane sample undergoes a reaction experiment in a combustion chamber until the experimental temperature meets a first preset threshold. The experimental time information and the gas concentration information produced for each n-alkane sample are then obtained. Based on the experimental time information and gas concentration information, a gas concentration curve for each n-alkane sample is obtained. The gas concentration curve is integrated to obtain the molar amount of gas generated for each n-alkane sample. Data fitting is performed on multiple molar amounts of gas generated and multiple average carbon number information to obtain relevant data. The correlation coefficient information and an initial standard curve are obtained, and the standard curve is determined when the correlation coefficient information meets the second preset threshold. The gas concentration curve of each pseudo-component sample is integrated to obtain the gas generation molar amount information of each pseudo-component sample. The gas concentration curve of the sample to be blended with the dilute / heavy oil is integrated to obtain the gas generation molar amount information of the sample to be blended with the dilute / heavy oil. The gas concentration curve of each dilute oil sample is integrated to obtain the gas generation molar amount information of each dilute oil sample. The gas generation molar amount information of each pseudo-component sample, the gas generation molar amount information of the sample to be blended with the dilute / heavy oil, and the gas generation molar amount information of each dilute oil sample are substituted into the standard curve to determine the average carbon number information of each pseudo-component sample. The system obtains the average carbon number information of the heavy and light oil samples to be blended and the average carbon number information of each light oil sample; it determines whether the average carbon number information of each pseudo-component sample is higher than a preset threshold. If it is, it is a heavy pseudo-component sample; otherwise, it is a light pseudo-component sample. There are N heavy pseudo-component samples (N is a positive integer) and M light pseudo-component samples (M is a positive integer). Multiple blending schemes are determined based on the N heavy pseudo-component samples and M light pseudo-component samples. Each heavy pseudo-component sample corresponds to M blending schemes, and each blending scheme corresponds to an average carbon number ratio. Each blending scheme is mixed according to preset blending conditions using a blending experimental apparatus to obtain the blending experimental results for each blending scheme. The results are then used to obtain... The blending index information for each blending scheme; the initial average carbon number ratio intervals for the M blending schemes corresponding to each heavy pseudo-component sample are determined based on the blending index information; wherein, each heavy pseudo-component sample corresponds to one initial average carbon number ratio interval, and there are N initial average carbon number ratio intervals in total; the initial average carbon number interval corresponding to each average carbon number ratio interval is determined, wherein there are N initial average carbon number intervals; the average carbon number intervals of the N initial average carbon number intervals are determined according to preset conditions; the difference information between the average carbon number information of the heavy and light oil samples to be blended and the average carbon number information of each light oil sample is determined respectively; it is determined whether each difference information is within the average carbon number interval, and if so, the light oil sample corresponding to the difference information is the target light oil sample.This provides a precise and concise indicator for screening light oil in heavy oil blending and viscosity reduction. The target light oil can be determined based on the average carbon number information of the light oil, thus improving the technical effect of screening light oil.
[0098] Figure 5 A schematic diagram of the structure of a screening device for diluting and reducing viscosity of medium-thin oil provided in this application embodiment. Figure 1 . Figure 5 A schematic diagram of the structure of a screening device for diluting and reducing viscosity of medium-thin oil provided in this application embodiment. Figure 1 .like Figure 5 As shown in the embodiment of this application, a screening device 500 for diluting and reducing viscosity of medium-thin oil is provided. The device includes: a combustion tank test device 501, a blending test device 502, and a data acquisition device 503; the data acquisition device 503 is connected to the combustion tank test device 501 and the blending test device 502.
[0099] Combustion pool experimental apparatus 501 is used to conduct reaction experiments on each n-alkane sample, each proposed component sample, the sample to be mixed with thin or heavy oil, and air.
[0100] In this embodiment, Figure 6 A schematic diagram of a screening device for diluting and reducing viscosity of medium-thin oil provided in this application embodiment. Figure 2 .like Figure 6 As shown, the combustion pool experimental device 501 in the screening equipment for diluting and reducing viscosity of medium-thin oil provided in this embodiment includes: a combustion pool 601, an air tank 602, a temperature controller 7603, and a gas analyzer 604; the combustion pool 601 is connected to the air tank 602, the temperature controller 603 is connected to the gas analyzer 604; the gas analyzer 604 is connected to the data acquisition device 503.
[0101] Temperature controller 601 is used to control the reaction temperature in the combustion tank; air tank 602 is used to store air and input the stored gas into the combustion tank; combustion tank 603 is used to conduct reaction experiments on each n-alkane sample, each proposed component sample, and the sample to be blended with thin or heavy oil, and air; gas analyzer 604 is used to collect gas concentration information of each n-alkane sample, each proposed component sample, the sample to be blended with thin or heavy oil, and each thin oil sample reacting with air and gas concentration information of each thin or heavy oil sample reacting in the combustion tank. Gas analyzer 604 can obtain gas concentration information at multiple time points.
[0102] In one possible implementation, when the combustion tank 603 conducts reaction experiments on each n-alkane sample, each component sample, the sample to be mixed with dilute or heavy oil, and air, 1g of sample and 15g of quartz sand can be mixed evenly, and 10.5g can be used for the experiment. The filling sand is acid-washed quartz sand with a mesh size of 40-60. The filling order and filling amount in the combustion tank 603 from bottom to top are: 5g of quartz sand, 10.5g of oil sand, and 10g of quartz sand. The experimental conditions are a heating range of 25℃~600℃ and a rate of 4.1℃ / min (140min).
[0103] The blending experimental apparatus 602 is used to mix heavy pseudo-component samples and light pseudo-component samples according to preset blending conditions to obtain the blending experimental results of each blending scheme.
[0104] In this embodiment, Figure 6 A schematic diagram of a screening device for diluting and reducing viscosity of medium-thin oil provided in this application embodiment. Figure 2 .like Figure 6 As shown, the blending test device 502 in the screening equipment for diluting and reducing viscosity of medium-thin oil provided in this embodiment includes: a blending device 605 and a measuring device 606; the measuring device 606, the blending device 605, and the data acquisition device 503 are connected.
[0105] The blending device 605 is used to mix the heavy pseudo-component sample and the light pseudo-component sample in each blending scheme according to the preset blending conditions; the measuring device 606 is used to measure the viscosity information of each blending scheme at each time point under the preset time interval.
[0106] In one possible implementation, the mixing conditions can be set to a temperature of 30°C, a mixing ratio of 2:1, and a shear rate of 1 s. -1 .
[0107] The data acquisition device 503 is used to collect and process the gas concentration information of the combustion pool experimental device 501 and the viscosity information of the blending experimental device 502. It is also used to determine the target thin oil sample based on the average carbon number range, the average carbon number information of the thin and heavy oil samples to be blended, and the average carbon number information of each thin oil sample.
[0108] In this embodiment, the data acquisition device 503 collects and processes gas concentration information at multiple times in the combustion pool experimental device 501, collects and processes viscosity information at multiple times in the blending experimental device 502, and determines the target thin oil sample based on the average carbon number range, the average carbon number information of the thin and heavy oil samples to be blended, and the average carbon number information of each thin oil sample.
[0109] In one possible implementation, the data acquisition device 503 is also used for:
[0110] The gas concentration information of each sample reacting with air in the gas analyzer 604 is collected; the gas concentration information is used to determine the gas concentration curves of each n-alkane sample, each component sample, the sample to be blended (thick or thin) and each thin oil sample;
[0111] In this embodiment, the data acquisition device 503 can determine the relationship curve between time and concentration by collecting gas concentration information at multiple time points of the reaction between each sample and air in the gas analyzer 604, namely the gas concentration curve of each n-alkane sample, each component sample, the sample to be mixed with heavy oil and each thin oil sample.
[0112] In one possible implementation, the data acquisition device 503 is also used for:
[0113] Determine the standard curve, and based on the standard curve, determine the average carbon number information for each component sample, the heavy oil sample to be blended, and each light oil sample;
[0114] In this embodiment, the data acquisition device 503 determines the gas molar amount information based on the gas concentration curve of each sample, determines the gas generation molar amount information corresponding to each n-alkane sample based on the gas molar amount information, determines the standard curve based on the average carbon number information and gas generation molar amount information of each n-alkane sample, and determines the average carbon number information of each component sample, the heavy oil sample to be blended, and each light oil sample based on the gas generation molar amount information of each sample.
[0115] In one possible implementation, the data acquisition device 503 is also used for:
[0116] Multiple viscosity information samples for each blending scheme in the blending experimental device 502 are collected. The viscosity curve for each blending scheme is determined using the multiple viscosity information samples. The blending index information is determined based on the viscosity curve.
[0117] In this embodiment, the data acquisition device 503 collects viscosity information of each blending scheme in the blending experiment device 502 at multiple time points, establishes a time-related viscosity curve based on the multiple viscosity information, and determines the viscosity reduction efficiency information and viscosity reduction rate information based on the slope and speed of the viscosity curve descent. It can also determine whether the difference between the viscosity information at the r-th time point and the viscosity information at the (r+1)-th time point meets a preset threshold. If it does, it is determined that the heavy pseudo-component and the light pseudo-component are mixed evenly. Then, the viscosity information at the initial mixing time and the viscosity information at the time point of uniform mixing are used to determine the viscosity reduction efficiency information and viscosity reduction rate information. The mixing condition information can be determined based on the time to complete uniform mixing and the set shear rate of the blending device 605.
[0118] In one possible implementation, the data acquisition device 503 is also used for:
[0119] The average carbon number range is determined based on the average carbon number information and blending index information of each proposed component sample.
[0120] In this embodiment, each heavy pseudo-component corresponds to M blending schemes. Based on the blending index information, the average carbon number ratio range of each heavy pseudo-component is determined. There are N initial average carbon number ratio ranges. Based on the average carbon number ratio ranges, N initial average carbon number ranges are determined. Then, the average carbon number range can be determined based on the N initial average carbon number ranges.
[0121] This application provides a screening device for thin oil in a viscosity-reducing blend. The device includes a combustion tank experimental apparatus, a blending experimental apparatus, and a data acquisition device. The combustion tank experimental apparatus is used to conduct combustion reaction experiments on each n-alkane sample, each pseudo-component sample, and the sample to be blended (thin / thick oil). The blending experimental apparatus is used to mix heavy pseudo-component samples and light pseudo-component samples according to preset blending conditions to obtain the blending experimental results for each blending scheme. The data acquisition device is used to collect and process the gas concentration information of the combustion tank experimental apparatus, and also to determine the target thin oil sample based on the average carbon number range, the average carbon number information of the sample to be blended (thin / thick oil), and the average carbon number information of each thin oil sample. A temperature controller controls the reaction temperature in the combustion tank, and a gas cylinder stores gas and inputs it into the combustion tank. The combustion tank conducts reaction experiments on each n-alkane sample, each pseudo-component sample, the sample to be blended (thin / thick oil), and air. A gas analyzer collects the gas concentration information of each n-alkane sample, each pseudo-component sample, the sample to be blended (thin / thick oil), and each thin oil sample in the combustion tank reaction, and further collects data. The device collects gas concentration information from the gas analyzer based on the reaction of each sample with air. Using this gas concentration information, it determines the gas concentration curves for each n-alkane sample, each proposed component sample, the sample to be blended (thick or thin oil), and each thin oil sample. Based on the gas concentration curves, it determines a standard curve, and then uses the standard curve to determine the average carbon number information for each proposed component sample, the sample to be blended (thick or thin oil), and each thin oil sample. Simultaneously, the blending device mixes the heavy and light proposed component samples in each blending scheme according to preset blending conditions. The measuring device measures the viscosity information at each time point of each blending scheme at preset time intervals. The data acquisition equipment collects multiple viscosity data points for each blending scheme in the blending experiment device, uses these multiple viscosity data points to determine the viscosity curve for each blending scheme, and determines the blending index information based on the viscosity curve. Therefore, based on the average carbon number information of each proposed component sample and the blending index information, it determines the average carbon number range. Finally, based on the average carbon number range, the average carbon number information of the sample to be blended (thick or thin oil), and the average carbon number information of each thin oil sample, it determines the target thin oil sample. This achieves the technical effect of improving the accuracy of thin oil screening.
[0122] It should be noted that although the steps in the device diagram are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the system diagram may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.
[0123] It should be understood that the above-described device embodiments are merely illustrative, and the device of this application can also be implemented in other ways. For example, the division of units / modules in the above embodiments is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple units, modules, or components may be combined, or integrated into another system, or some features may be ignored or not executed.
[0124] Furthermore, unless otherwise specified, the functional units / modules in the various embodiments of this application can be integrated into one unit / module, or each unit / module can exist physically separately, or two or more units / modules can be integrated together. The integrated units / modules described above can be implemented in hardware or as software program modules.
[0125] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.
[0126] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.
Claims
1. A method for screening diluted oils used in viscosity reduction and thickening processes, characterized in that, include: Obtain the gas concentration curves for each n-alkane sample, each proposed component sample, the heavy oil sample to be blended, and each light oil sample; A standard curve is determined based on the gas concentration curve and average carbon number information of each n-alkane sample; The standard curve determines the average carbon number information of each sample to be used as a component, the average carbon number information of the sample to be blended (thick or thin oil), and the average carbon number information of each thin oil sample based on the gas concentration curve of each sample. The average carbon number range is determined based on the average carbon number information of each proposed component sample and the results of the blending experiment. The target thin oil sample is determined based on the average carbon number range, the average carbon number information of the heavy and light oil samples to be blended, and the average carbon number information of each thin oil sample.
2. The method according to claim 1, characterized in that, The process of determining the standard curve based on multiple gas concentration curves and multiple average carbon number information includes: Under preset experimental conditions, each n-alkane sample undergoes a reaction experiment in a combustion tank experimental device until the experimental temperature meets a first preset threshold. The experimental time information and the gas concentration information of each n-alkane sample are then obtained, wherein the produced gas includes CO and CO2. The gas concentration curve for each n-alkane sample is obtained based on the experimental time information and the gas concentration information. Integrating the gas concentration curve yields the molar amount of gas generated for each n-alkane sample; Data fitting is performed on the multiple gas generation molar amounts and the multiple average carbon number information to obtain correlation coefficient information and an initial standard curve. The standard curve is determined when the correlation coefficient information meets a second preset threshold.
3. The method according to claim 2, characterized in that, The standard curve, based on the gas concentration curve of each sample, determines the average carbon number information of each proposed component sample, the average carbon number information of the sample to be blended (thick or thin), and the average carbon number information of each thin oil sample, including: The gas concentration curve of each pseudo-component sample is integrated to obtain the gas generation molar amount information of each pseudo-component sample; The gas concentration curves of the samples to be blended (both heavy and light) are integrated to obtain the molar amount of gas generated in the samples to be blended (both heavy and light). The gas concentration curve of each thin oil sample is integrated to obtain the molar amount of gas generated in each thin oil sample. The gas generation molar amount information of each proposed component sample, the gas generation molar amount information of the sample to be blended with heavy oil, and the gas generation molar amount information of each thin oil sample are substituted into the standard curve to determine the average carbon number information of each proposed component sample, the average carbon number information of the sample to be blended with heavy oil, and the average carbon number information of each thin oil sample.
4. The method according to claim 3, characterized in that, The step of determining the average carbon number range based on the average carbon number information of each proposed component sample and the results of the blending experiment includes: Determine whether the average carbon number of each pseudo-component sample is higher than a preset threshold. If yes, it is a heavy pseudo-component sample; otherwise, it is a light pseudo-component sample. There are N heavy pseudo-component samples, where N is a positive integer, and M light pseudo-component samples, where M is a positive integer. Multiple blending schemes are determined based on N heavy pseudo-component samples and M light pseudo-component samples, wherein each heavy pseudo-component sample corresponds to M blending schemes, and each blending scheme corresponds to an average carbon number ratio; According to the preset mixing conditions, each mixing scheme is mixed using the mixing experimental device to obtain the mixing experimental results of each mixing scheme. The blending index information for each blending scheme is obtained based on the results of the blending experiment. The average carbon number range is determined based on the blending index information.
5. The method according to claim 4, characterized in that, Determining the average carbon number range based on the blending index information includes: The M blending schemes corresponding to each heavy pseudo-component sample determine the initial average carbon ratio range based on the blending index information; wherein, each heavy pseudo-component sample corresponds to one initial average carbon ratio range, and there are a total of N initial average carbon ratio ranges; Determine the initial average carbon number interval corresponding to each average carbon number ratio interval, wherein there are N initial average carbon number intervals; The average carbon number intervals are determined from N initial average carbon number intervals according to preset conditions.
6. The method according to claim 5, characterized in that, The step of determining the target thin oil sample based on the average carbon number range, the average carbon number information of the heavy oil sample to be blended, and the average carbon number information of each thin oil sample includes: The difference between the average carbon number information of the sample to be blended (both heavy and light) and the average carbon number information of each light oil sample is determined respectively. Determine whether each difference value is within the average carbon number range. If so, the thin oil sample corresponding to the difference value is the target thin oil sample.
7. A screening device for diluting and reducing viscosity with light oil, characterized in that, The screening equipment includes a combustion tank experimental device, a blending experimental device, and a data acquisition device; The combustion pool experimental device is used to conduct combustion reaction experiments on each n-alkane sample, each component sample, and the sample to be blended (thick or thin) oil. The mixing experimental apparatus is used to mix heavy pseudo-component samples and light pseudo-component samples according to preset mixing conditions to obtain the mixing experimental results of each mixing scheme. The data acquisition device is used to collect and process the gas concentration information of the combustion pool experimental device, and is also used to determine the target thin oil sample based on the average carbon number range, the average carbon number information of the heavy oil sample to be blended, and the average carbon number information of each thin oil sample.
8. The screening equipment for diluting and reducing viscosity of medium-thin oil according to claim 7, characterized in that, The combustion chamber experimental apparatus includes: a combustion chamber, a gas cylinder, a temperature controller, and a gas analyzer; The temperature controller is used to control the reaction temperature in the combustion tank; The gas cylinder is used to store gas and input it into the combustion tank; The combustion tank is used to conduct combustion reaction experiments on each n-alkane sample, each proposed component sample, and the sample to be blended with dilute or heavy oil. The gas analyzer is used to collect gas concentration information of each n-alkane sample, each component sample, the sample to be blended (thick or thin), and each thin oil sample in the combustion tank.
9. The screening equipment for diluting and reducing viscosity of medium-thin oil according to claim 7, characterized in that, The mixing experimental apparatus includes a mixing device and a measuring device; The mixing device is used to mix the heavy pseudo-component sample and the light pseudo-component sample in each mixing scheme according to preset mixing conditions; The measuring device is used to measure the viscosity information of each blending scheme at each time point within a preset time interval.
10. The screening equipment for diluting and reducing viscosity of medium-thin oil according to claim 9, characterized in that, The data acquisition device is used for: Collect gas concentration information of each sample reacting with air in the gas analyzer; use the gas concentration information to determine the gas concentration curves of each n-alkane sample, each proposed component sample, the sample to be blended (thick or thin) and each thin oil sample; Determine a standard curve, and based on the standard curve, determine the average carbon number information of each proposed component sample, the heavy oil sample to be blended, and each light oil sample; The viscosity curve of each blending scheme is determined using multiple viscosity information, and the blending index information is determined based on the viscosity curve; The average carbon number range is determined based on the average carbon number information and blending index information of each proposed component sample.